Change The Legend Labels In Excel V15.32 For Mac

CHANGE THE LEGEND LABELS IN EXCEL V15.32 CODE TO ADD

The first is to use a gradient fill on the line. C) Legend Labels Category.Option 1: Multi-colored line chart with Gradient Fill. When exporting to Excel, it is fine. Sometimes it isTrying to XOG in an update to the change request to set the approved by field. One of two different reactions to at least one article. As a result, you can draw to scale and adjust that scale in LayOut.

In the Select Data Source box, click on the legend entry you want to change , and then click the Edit button.I have now or have had in the past and the article provides a (better)Solution. An вЂњah haвЂќ moment because the article is right on point for a problemExcel Details: Here are the steps to change the legend labels: 1.Right-click the legend, and click Select Data2. In the Format menu (bucket icon) for the line, choose вЂGradient FillвЂ™: Adjust the gradient stops, adding.

OurBiggest вЂњproblemвЂќ is that ggplot has been a little too helpful andAdding some things weвЂ™d like to remove to give it a more вЂњTuftesqueвЂќLook. Things are scaledProperly and the basic labeling of titles etc. DonвЂ™t like colors? Pull the color = Party clause.So weвЂ™re already pretty close to what we need. Lines too big? An adjustment toSize = 2 does it. WeвЂ™ve identified our dataset, the x & yVariables and our grouping variable. WeвЂ™ll load them and I am suppressing theMessage from dplyr about namespace overrides.Ggplot ( data = data , aes ( x = Date , y = Pct , group = Party )) + geom_line ( aes ( color = Party , alpha = 1 ), size = 2 ) + geom_point ( aes ( color = Party , alpha = 1 ), size = 4 ) + # Labelling as desired labs ( title = 'Voter's stated preferences for June 7 elections in Ontario' , subtitle = '(Mainstreet Research)' , caption = '' )The nice thing about ggplot is once you get used to the syntax itBecomes very вЂњreadableвЂќ.

Change The Legend Labels In Excel V15.32 Code To Add

Not display any legend(s) theme(legend.position = 'none') Change to a nice clean black and white theme theme_bw() Move the x axis labels to the top with scale_x_discrete(position = This is inContrast to a base plot where we have to write the code to add elements.

If we make thatGeom_text(aes(label = paste0(Party, ' - ', Pct, '%'))) then weвЂ™ll getLabels that have both the party and the percent all neatly formatted,But still right on top of the points that anchor the ends of the line.Hjust controls horizontal justification so if we change it toGeom_text(aes(label = paste0(Party, ' - ', Pct, '%')), hjust = 1.35)Both sets of labels will slide to the left which is exactly what we wantFor the May 11 labels but not the May 18 labels. The codeGeom_text(aes(label = Party)) will place the party name right on topOf the points that anchor either end of the line. Later,IвЂ™ll get fancy but for now letвЂ™s just add some simple text labels onThe left and right to show the party name and their percentage.

Oh my, thatвЂ™s a lot of code to keep cutting and pasting, can weTo test #1 and #2 I have вЂњinventedвЂќвЂќ a new dataset called moredata.It is fictional itвЂ™s labelled May 25th but today is actually May24th. Our very neat little labels will overlap each other.In his post I believe he mentions that he manually moved them in How well will this solution work when we have more than two timePeriods? Need to make sure it generalizes to a more complex case.His post weвЂ™ll have issues if the data points are identical or veryClose together. Adding complexityIвЂ™m feeling pretty good about the solution so far but there are three While weвЂ™re at it weвЂ™llMake it bold face font and a little largerвЂ¦Ggplot ( data = data , aes ( x = Date , y = Pct , group = Party )) + geom_line ( aes ( color = Party , alpha = 1 ), size = 2 ) + geom_point ( aes ( color = Party , alpha = 1 ), size = 4 ) + geom_text ( data = data %>% filter ( Date = '11-May-18' ), aes ( label = paste0 ( Party , ' - ' , Pct , '%' )) , hjust = 1.35 , fontface = 'bold' , size = 4 ) + geom_text ( data = data %>% filter ( Date = '18-May-18' ), aes ( label = paste0 ( Party , ' - ' , Pct , '%' )) , hjust = -.35 , fontface = 'bold' , size = 4 ) + # move the x axis labels up top scale_x_discrete ( position = 'top' ) + theme_bw () + # Format tweaks # Remove the legend theme ( legend.position = 'none' ) + # Remove the panel border theme ( panel.border = element_blank ()) + # Remove just about everything from the y axis theme ( axis.title.y = element_blank ()) + theme ( axis.text.y = element_blank ()) + theme ( panel.grid.major.y = element_blank ()) + theme ( panel.grid.minor.y = element_blank ()) + # Remove a few things from the x axis and increase font size theme ( axis.title.x = element_blank ()) + theme ( panel.grid.major.x = element_blank ()) + theme ( axis.text.x.top = element_text ( size = 12 )) + # Remove x & y tick marks theme ( axis.ticks = element_blank ()) + # Format title & subtitle theme ( plot.title = element_text ( size = 14 , face = 'bold' , hjust = 0.5 )) + theme ( plot.subtitle = element_text ( hjust = 0.5 )) + # Labelling as desired labs ( title = 'Voter's stated preferences for June 7 elections in Ontario' , subtitle = '(Mainstreet Research)' , caption = '' )Eureka! Not perfect yet but definitely looking good. So what weвЂ™ll do is filter theData using the filter function from dplyr and place the left handLabels differently than the right hand labels.

5 , direction = 'y' ) + # move the x axis labels up top scale_x_discrete ( position = 'top' ) + theme_bw () + # Format tweaks # Remove the legend theme ( legend.position = 'none' ) + # Remove the panel border theme ( panel.border = element_blank ()) + # Remove just about everything from the y axis theme ( axis.title.y = element_blank ()) + theme ( axis.text.y = element_blank ()) + theme ( panel.grid. Notice that on May 25th the polling numbersFor the Liberals and the NDP are identical atGgplot ( data = moredata , aes ( x = Date , y = Pct , group = Party )) + geom_line ( aes ( color = Party , alpha = 1 ), size = 2 ) + geom_point ( aes ( color = Party , alpha = 1 ), size = 4 ) + geom_text_repel ( data = moredata %>% filter ( Date = '11-May-18' ), aes ( label = paste0 ( Party , ' - ' , Pct , '%' )) , hjust = 'left' , fontface = 'bold' , size = 4 , nudge_x = -.45 , direction = 'y' ) + geom_text_repel ( data = moredata %>% filter ( Date = '25-May-18' ), aes ( label = paste0 ( Party , ' - ' , Pct , '%' )) , hjust = 'right' , fontface = 'bold' , size = 4 , nudge_x =.

Change The Legend Labels In Excel V15.32 For Mac